Best AI Models for HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)
128 GB total — ~96 GB usable as VRAM
128 GB unified memory; up to ~96 GB is allocatable as VRAM on Windows (more under Linux). Bandwidth-bound at 256 GB/s — large models load but generate slowly.
With 128 GB of memory, this is a high-end configuration for local AI. You can comfortably run most open-source LLMs including large 70B parameter models at good quantization levels, making it one of the best setups for serious local AI work.
At this memory tier, nearly every popular open-source model is within reach. You can run Llama 3 70B at Q4_K_M or even Q5_K_M quantization with room to spare, handle coding assistants like DeepSeek Coder 33B at high quality, and easily run any 7B–30B model at full or near-full precision. Context windows remain generous even with larger models, so multi-turn conversations and long-document processing work smoothly.
Runs Well
- 70B models (Llama 3 70B, Qwen 72B) at Q4–Q5
- 30B models at Q6–Q8 quality
- 7B–14B models at full FP16 precision
- Vision models (LLaVA, CogVLM) without compromise
Challenging
- Mixture-of-experts models like Mixtral 8x22B at higher quants
- 120B+ models still require lower quantizations
What LLMs Can HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) Run?
290 models · 54 excellent · 118 good
Showing compatibility for HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)
| Model | Quant | VRAM | Speed | Context | Status | Grade |
|---|---|---|---|---|---|---|
Q4_K_M·83.0 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 7.7 GB | 83.0 t/s | 131K | RUNS GREAT | S88 |
Q4_K_M·54.6 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 21.4 GB | 54.6 t/s | 262K | RUNS WELL | A81 |
Q4_K_M·161.4 t/s tok/s·33K ctx·RUNS GREAT | Q4_K_M | 2.4 GB | 161.4 t/s | 33K | RUNS GREAT | S97 |
Q4_K_M·58.3 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 18.7 GB | 58.3 t/s | 262K | RUNS WELL | A83 |
Q4_K_M·26.2 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 6.4 GB | 26.2 t/s | 262K | RUNS WELL | A67 |
Q4_K_M·59.9 t/s tok/s·RUNS WELL | Q4_K_M | 23.3 GB | 59.9 t/s | — | RUNS WELL | A84 |
Q4_K_M·40.2 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 49.2 GB | 40.2 t/s | 262K | RUNS WELL | A75 |
Q4_K_M·8.2 t/s tok/s·262K ctx·DECENT | Q4_K_M | 20.4 GB | 8.2 t/s | 262K | DECENT | B45 |
Q4_K_M·81.6 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 2.0 GB | 81.6 t/s | 131K | RUNS GREAT | S88 |
Q4_K_M·26.8 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 6.2 GB | 26.8 t/s | 262K | RUNS WELL | A68 |
Q4_K_M·51.0 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 3.3 GB | 51.0 t/s | 262K | RUNS WELL | A80 |
Q4_K_M·20.2 t/s tok/s·262K ctx·DECENT | Q4_K_M | 8.2 GB | 20.2 t/s | 262K | DECENT | B60 |
Q4_K_M·35.0 t/s tok/s·RUNS WELL | Q4_K_M | 78.5 GB | 35.0 t/s | — | RUNS WELL | A70 |
Q4_K_M·156.0 t/s tok/s·8K ctx·RUNS GREAT | Q4_K_M | 2.5 GB | 156.0 t/s | 8K | RUNS GREAT | S97 |
Q4_K_M·31.3 t/s tok/s·131K ctx·RUNS WELL | Q4_K_M | 5.3 GB | 31.3 t/s | 131K | RUNS WELL | A71 |
Q4_K_M·48.5 t/s tok/s·131K ctx·RUNS WELL | Q4_K_M | 3.4 GB | 48.5 t/s | 131K | RUNS WELL | A79 |
HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) Specifications
- Brand
- HP
- Chip
- Ryzen AI Max+ PRO 395
- Type
- Laptop
- Unified Memory
- 128 GB
- Memory Bandwidth
- 256.0 GB/s
- GPU Cores
- 40
- CPU Cores
- 16
- Neural Engine
- 50.0 TOPS
- Form Factor
- 14-inch mobile workstation
- GPU Architecture
- RDNA 3.5
- CPU Architecture
- Zen 5
- Memory Type
- LPDDR5x-8000 (256-bit)
- TDP
- 55 W
- NPU
- XDNA 2
- NPU Performance
- 126 TOPS total
- Display
- 14in 2880x1800 OLED 120Hz
- MSRP
- $3,500
- Release Date
- 2025-03-01
Get Started
Prompt Processing
Estimated for Qwen3.5 35B A3B DFlash, the compute-bound phase that reads your prompt before the first reply token appears.
Short chat
345 ms
512 tok prompt
Long chat
2.8 s
4,096 tok prompt
Document / codebase
22.1 s
32,768 tok prompt
Prefill is compute-bound and a different number from the decode tok/s shown elsewhere on this page — how prompt processing works →
Performance figures are estimates calibrated as of 2026-09-21 — see calibration basis →
Devices to Consider
Similar devices and upgrades with more memory or higher bandwidth
Frequently Asked Questions
- Can HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) run Gemma 4 26B A4B IT?
Yes, the HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) with 128 GB unified memory can run Gemma 4 26B A4B IT, NVIDIA Nemotron 3.5 Lightning 30B A3B BF16, Ornith 1.0 35B, and 2616 other models. 827 models achieve excellent performance, and 880 run at good quality. Apple Silicon's unified memory architecture lets the GPU access the full memory pool without copying data, making it efficient for AI workloads.
- How much memory is available for AI on HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)?
The HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) has 128 GB unified memory. After macOS reserves ~3.5 GB for the operating system, approximately 124.5 GB is available for AI models. Unlike discrete GPUs where VRAM is separate from system RAM, Apple Silicon shares one memory pool between the CPU and GPU — this means no data copying overhead, but you share memory with macOS and open apps.
- Is HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) good for AI?
With 128 GB unified memory and 256.0 GB/s bandwidth, the HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) is excellent for running local AI models. It supports 1707 models at good quality or better. This is a premium configuration — you can run large 30B+ parameter models at good quality, and most 7B models at maximum quality. Ideal for professional AI workloads.
- What's the best model for HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)?
The top-rated models for the HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) are Gemma 4 26B A4B IT, NVIDIA Nemotron 3.5 Lightning 30B A3B BF16, Ornith 1.0 35B. With this much memory, you can prioritize quality — use higher quantizations (Q5/Q6) for better output, or run larger 30B+ models for more capable reasoning.
- How fast is HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) for AI inference?
With 256.0 GB/s memory bandwidth, the HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) achieves approximately 40 tok/s on a 7B model at Q4_K_M — that's comfortable for real-time chat. A 14B model runs at ~20 tok/s. Apple Silicon achieves high efficiency (~70%) thanks to unified memory — there's no PCIe bottleneck between CPU and GPU.
tok/s = (256 GB/s ÷ model GB) × efficiency
Apple Silicon achieves ~70% bandwidth efficiency thanks to unified memory and Metal acceleration.
Estimated speed on HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)
~56 tok/s~62 tok/s~55 tok/s~10 tok/sReal-world results typically within ±20%.
- Can I run AI offline on HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)?
Yes — once you download a model, it runs entirely on the HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) without internet. Applications like Ollama and LM Studio make it straightforward to download, manage, and run models locally. All your conversations stay private on your device with zero data sent to external servers. This is one of the key advantages of local AI: complete privacy, no API costs, and no rate limits.
- Will HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) throttle or drain the battery running LLMs?
Yes, sustained LLM inference is one of the most thermally demanding workloads a laptop can face — more continuous than most gaming sessions. Plugged in, the HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB) will run at full performance but may still throttle if the chassis thermal limit is hit under prolonged load; expect the fans to spin up noticeably. On battery, macOS and the firmware typically cap power draw to protect the cells, which can reduce inference speed by 20–40%. For long sessions (generating documents, batch processing), keep the laptop plugged in, on a hard flat surface with the vents unobstructed, and consider a 7B model at Q4_K_M rather than a larger model — smaller models generate less heat while still giving useful results. Real-world speed on battery is typically within ±20% of the on-charger figure for short bursts, but diverges more over 10+ minutes of continuous generation.
- Anything to watch out for with HP ZBook Ultra G1a 14 (Ryzen AI Max+ PRO 395, 128 GB)?
128 GB unified memory; up to ~96 GB is allocatable as VRAM on Windows (more under Linux). Bandwidth-bound at 256 GB/s — large models load but generate slowly.